Machine Learning Engineer Jobs in San Francisco

San Francisco's Machine Learning Engineer market features 93 open roles, with a median midpoint salary of $195,550, reflecting robust demand in a hub for AI innovation. This landscape underscores a competitive yet opportunity-rich environment where tech giants and startups alike seek talent to drive cutting-edge projects. Leading the hiring charge are Waymo with 13 openings, Pinterest with 12, and DoorDash with 6, signaling strong investment in autonomous systems, personalized content algorithms, and logistics optimization—areas where machine learning directly fuels growth and efficiency. These employers' activity points to a market prioritizing scalable AI solutions, encouraging applicants to target roles that align with real-world deployment needs. Postings consistently emphasize skills like machine learning, Python, and PyTorch, alongside deep learning, TensorFlow, model training, recommendation systems, computer vision, data analysis, and model deployment, which means candidates must demonstrate hands-on expertise in building and iterating models to stand out. This focus highlights the need for practical, production-ready experience over theoretical knowledge alone, as companies seek engineers who can accelerate from prototype to impact. For applicants, tailor your resume to quantify achievements in Python-based model training and PyTorch implementations, and apply directly through employer career pages to bypass generic job boards—Waymo and Pinterest, in particular, favor detailed portfolios showcasing computer vision or recommendation system contributions, boosting your visibility in this fast-filling pool.